See Agentic AI in Decision Management in action

Turning business requirements into production-ready decision logic can take weeks. Business experts define the requirements, modelers translate them into rules and data models, tests are created, and documentation and approvals follow. 

For organizations managing complex or regulated decisions, this creates a challenge: how can decision logic be developed and changed faster without compromising quality, traceability or control? 

Why AI-assisted decision modeling matters 

AI-assisted decision modeling is changing how teams build, analyze and maintain decision logic. 

Instead of manually translating requirements into models, AI agents can help turn plain-language requirements into graphical decision models, analyze the resulting logic, generate tests and documentation, and identify potential weaknesses. 

This can reduce the time and effort involved in moving from a business requirement to tested, review-ready decision logic – particularly when decision logic needs to change frequently due to new regulations, business requirements or increasing decision volumes. 

But speed alone is not enough. In regulated environments, AI-generated decision logic needs to remain understandable, traceable and subject to human oversight. 

AI accelerates the modeling process. Your experts remain in control of what gets approved and put into production. 

In this on-demand webinar you will see:  

In this 60 minute on-demand webinar, you’ll see how the ACTICO Decision Management Platform applies AI across the decision modeling process – from requirements through analysis, testing and approval. 

• Build and adjust business rules and the data model from natural language.  
• Model analysis: identify gaps, inconsistencies, redundant rules and unreachable paths a manual review could miss.  
• Query and explain models: provide model explanations and allow users to interactively query and discover models.  
• Test generation: create test cases, including boundary values and edge cases, while monitoring test coverage.  
• Built – in governance: keep documentation, traceability and approval part of the workflow.  
• Approval by your experts: every AI–generated change is reviewed and approved before it goes into production. 

This webinar is relevant for:  

This webinar is relevant for professionals responsible for designing, managing or automating business-critical decisions, particularly in regulated industries. 

It is especially relevant for: 

• CROs and credit risk leaders 
• Heads of Credit Risk and Credit Decisioning 
• Decision Management leaders 
• Business rules and decision modelling professionals 
• Leaders in automation and digital transformation 
• Lending and financial services professionals 

It will be particularly useful if legacy systems, regulatory change, increasing decision volumes or lengthy IT-led development cycles make it difficult to adapt decision logic quickly.